public Algorithm_(int k, List <winequalityRed> train, List <winequalityRed> wineSet)
{
this.kNN = k; //k neighbor
this.trainset = train; //trainset
this.wineSet = wineSet; //customer
this.totalTrainset = train.Count; //total of wine
distances = new Distance [this.totalTrainset];
//get max value of each column need to normalize
MaxinumValue maximum = new MaxinumValue(train);
maximum.findAllMax();
MAXfixedAcidity = maximum.getFixedAcidity();
MAXvolatileAcidity = maximum.getVolatileAcidity();
MAXcitricAcid = maximum.getCitricAcid();
MAXresidualSugar = maximum.getResidualSugar();
MAXchlorides = maximum.getChlorides();
MAXfreeSulfurDioxide = maximum.getFreeSulfurDioxide();
MAXtotalSulfurDioxide = maximum.getTotalSulfurDioxide();
MAXdensity = maximum.getDensity();
MAXpH = maximum.getPH();
MAXsulphates = maximum.getSulphates();
MAXalcohol = maximum.getAlcohol();
MAXquality = maximum.getQuality();
}
public Algorithm( int k, List <Customer> train, List <Customer> customer )
{
this.kNN = k;//k neighbor
this.trainset = train;//trainset
this.customerset = customer;//customer
this.totalTrainset = train.Count;//total of customer
distances = new Distance [this.totalTrainset];
//get max value of each column need to normalize
MaxinumValue maximum = new MaxinumValue(train);
maximum.findAllMax();
maxAge = maximum.getMaxAge();
maxIncome = maximum.getMaxIncome();
maxNumCard = maximum.getMaxNumCard();
}
public Algorithm(int k, List <Customer> train, List <Customer> customer)
{
this.kNN = k; //k neighbor
this.trainset = train; //trainset
this.customerset = customer; //customer
this.totalTrainset = train.Count; //total of customer
distances = new Distance [this.totalTrainset];
//get max value of each column need to normalize
MaxinumValue maximum = new MaxinumValue(train);
maximum.findAllMax();
maxAge = maximum.getMaxAge();
maxIncome = maximum.getMaxIncome();
maxNumCard = maximum.getMaxNumCard();
}
